Overview

Dataset statistics

Number of variables31
Number of observations1135
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory278.3 KiB
Average record size in memory251.1 B

Variable types

Numeric2
Categorical14
Text15

Alerts

데이터기준 has constant value ""Constant
자료출처 has constant value ""Constant
공개여부 has constant value ""Constant
작성일 has constant value ""Constant
갱신주기 has constant value ""Constant
시군명 is highly imbalanced (73.3%)Imbalance
강좌내용 is highly imbalanced (86.2%)Imbalance
교육방법 is highly imbalanced (90.6%)Imbalance
선정방법 is highly imbalanced (64.0%)Imbalance
훈련비지원 is highly imbalanced (80.6%)Imbalance
학점은행제 is highly imbalanced (87.1%)Imbalance
평생학습 is highly imbalanced (69.8%)Imbalance
순번 has unique valuesUnique
강좌정원수 has 133 (11.7%) zerosZeros

Reproduction

Analysis started2024-03-14 00:37:05.266158
Analysis finished2024-03-14 00:37:06.164244
Duration0.9 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct1135
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean575.19648
Minimum1
Maximum1155
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.1 KiB
2024-03-14T09:37:06.225291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile57.7
Q1288.5
median572
Q3861.5
95-th percentile1098.3
Maximum1155
Range1154
Interquartile range (IQR)573

Descriptive statistics

Standard deviation332.20091
Coefficient of variation (CV)0.57754336
Kurtosis-1.1935733
Mean575.19648
Median Absolute Deviation (MAD)287
Skewness0.0061570182
Sum652848
Variance110357.44
MonotonicityStrictly increasing
2024-03-14T09:37:06.354097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
766 1
 
0.1%
772 1
 
0.1%
771 1
 
0.1%
770 1
 
0.1%
769 1
 
0.1%
768 1
 
0.1%
767 1
 
0.1%
765 1
 
0.1%
774 1
 
0.1%
Other values (1125) 1125
99.1%
ValueCountFrequency (%)
1 1
0.1%
2 1
0.1%
3 1
0.1%
4 1
0.1%
5 1
0.1%
6 1
0.1%
7 1
0.1%
8 1
0.1%
9 1
0.1%
10 1
0.1%
ValueCountFrequency (%)
1155 1
0.1%
1154 1
0.1%
1153 1
0.1%
1152 1
0.1%
1151 1
0.1%
1150 1
0.1%
1149 1
0.1%
1148 1
0.1%
1147 1
0.1%
1146 1
0.1%

시군명
Categorical

IMBALANCE 

Distinct11
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size9.0 KiB
익산시
995 
김제시
 
27
부안군
 
23
전주시
 
22
군산시
 
18
Other values (6)
 
50

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row전주시
2nd row전주시
3rd row전주시
4th row전주시
5th row전주시

Common Values

ValueCountFrequency (%)
익산시 995
87.7%
김제시 27
 
2.4%
부안군 23
 
2.0%
전주시 22
 
1.9%
군산시 18
 
1.6%
남원시 11
 
1.0%
정읍시 10
 
0.9%
진안군 9
 
0.8%
순창군 9
 
0.8%
장수군 6
 
0.5%

Length

2024-03-14T09:37:06.508677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
익산시 995
87.7%
김제시 27
 
2.4%
부안군 23
 
2.0%
전주시 22
 
1.9%
군산시 18
 
1.6%
남원시 11
 
1.0%
정읍시 10
 
0.9%
진안군 9
 
0.8%
순창군 9
 
0.8%
장수군 6
 
0.5%

강좌명
Text

Distinct999
Distinct (%)88.0%
Missing0
Missing (%)0.0%
Memory size9.0 KiB
2024-03-14T09:37:06.793482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length30
Mean length11.436123
Min length1

Characters and Unicode

Total characters12980
Distinct characters601
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique933 ?
Unique (%)82.2%

Sample

1st row우쿨렐레
2nd row여행스케치
3rd row서예문인화작품반
4th row문인화
5th row사군자입문반
ValueCountFrequency (%)
트니트니 19
 
0.8%
토요 18
 
0.8%
교실 17
 
0.7%
50%할인 15
 
0.6%
목요 14
 
0.6%
퍼포먼스 14
 
0.6%
노래교실 14
 
0.6%
저녁반 14
 
0.6%
요가 13
 
0.5%
주민행복 12
 
0.5%
Other values (1408) 2230
93.7%
2024-03-14T09:37:07.262506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1258
 
9.7%
) 525
 
4.0%
( 382
 
2.9%
2 276
 
2.1%
1 221
 
1.7%
- 186
 
1.4%
스 181
 
1.4%
이 179
 
1.4%
교 168
 
1.3%
반 167
 
1.3%
Other values (591) 9437
72.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8602
66.3%
Space Separator 1258
 
9.7%
Decimal Number 1201
 
9.3%
Close Punctuation 527
 
4.1%
Open Punctuation 384
 
3.0%
Uppercase Letter 319
 
2.5%
Other Punctuation 279
 
2.1%
Dash Punctuation 186
 
1.4%
Lowercase Letter 112
 
0.9%
Math Symbol 110
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 181
 
2.1%
이 179
 
2.1%
교 168
 
2.0%
반 167
 
1.9%
리 166
 
1.9%
요 153
 
1.8%
트 141
 
1.6%
실 127
 
1.5%
기 122
 
1.4%
초 119
 
1.4%
Other values (525) 7079
82.3%
Uppercase Letter
ValueCountFrequency (%)
W 37
11.6%
E 36
11.3%
A 29
9.1%
N 28
8.8%
H 27
8.5%
B 26
8.2%
S 24
 
7.5%
P 20
 
6.3%
L 16
 
5.0%
Y 14
 
4.4%
Other values (12) 62
19.4%
Lowercase Letter
ValueCountFrequency (%)
o 23
20.5%
h 14
12.5%
c 11
9.8%
t 10
8.9%
l 8
 
7.1%
u 8
 
7.1%
i 7
 
6.2%
p 4
 
3.6%
y 4
 
3.6%
s 3
 
2.7%
Other values (8) 20
17.9%
Decimal Number
ValueCountFrequency (%)
2 276
23.0%
1 221
18.4%
3 165
13.7%
5 126
10.5%
6 101
 
8.4%
4 87
 
7.2%
0 81
 
6.7%
7 73
 
6.1%
8 39
 
3.2%
9 32
 
2.7%
Other Punctuation
ValueCountFrequency (%)
/ 122
43.7%
, 48
 
17.2%
! 39
 
14.0%
% 33
 
11.8%
& 30
 
10.8%
. 3
 
1.1%
＆ 2
 
0.7%
· 2
 
0.7%
Close Punctuation
ValueCountFrequency (%)
) 525
99.6%
』 2
 
0.4%
Open Punctuation
ValueCountFrequency (%)
( 382
99.5%
『 2
 
0.5%
Space Separator
ValueCountFrequency (%)
1258
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 186
100.0%
Math Symbol
ValueCountFrequency (%)
~ 110
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8601
66.3%
Common 3947
30.4%
Latin 431
 
3.3%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 181
 
2.1%
이 179
 
2.1%
교 168
 
2.0%
반 167
 
1.9%
리 166
 
1.9%
요 153
 
1.8%
트 141
 
1.6%
실 127
 
1.5%
기 122
 
1.4%
초 119
 
1.4%
Other values (524) 7078
82.3%
Latin
ValueCountFrequency (%)
W 37
 
8.6%
E 36
 
8.4%
A 29
 
6.7%
N 28
 
6.5%
H 27
 
6.3%
B 26
 
6.0%
S 24
 
5.6%
o 23
 
5.3%
P 20
 
4.6%
L 16
 
3.7%
Other values (30) 165
38.3%
Common
ValueCountFrequency (%)
1258
31.9%
) 525
13.3%
( 382
 
9.7%
2 276
 
7.0%
1 221
 
5.6%
- 186
 
4.7%
3 165
 
4.2%
5 126
 
3.2%
/ 122
 
3.1%
~ 110
 
2.8%
Other values (16) 576
14.6%
Han
ValueCountFrequency (%)
愛 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8601
66.3%
ASCII 4370
33.7%
None 8
 
0.1%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1258
28.8%
) 525
12.0%
( 382
 
8.7%
2 276
 
6.3%
1 221
 
5.1%
- 186
 
4.3%
3 165
 
3.8%
5 126
 
2.9%
/ 122
 
2.8%
~ 110
 
2.5%
Other values (52) 999
22.9%
Hangul
ValueCountFrequency (%)
스 181
 
2.1%
이 179
 
2.1%
교 168
 
2.0%
반 167
 
1.9%
리 166
 
1.9%
요 153
 
1.8%
트 141
 
1.6%
실 127
 
1.5%
기 122
 
1.4%
초 119
 
1.4%
Other values (524) 7078
82.3%
None
ValueCountFrequency (%)
＆ 2
25.0%
· 2
25.0%
『 2
25.0%
』 2
25.0%
CJK
ValueCountFrequency (%)
愛 1
100.0%

강사명
Text

Distinct500
Distinct (%)44.1%
Missing0
Missing (%)0.0%
Memory size9.0 KiB
2024-03-14T09:37:07.504297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length3
Mean length3.0246696
Min length1

Characters and Unicode

Total characters3433
Distinct characters207
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique300 ?
Unique (%)26.4%

Sample

1st row김현주
2nd row김성욱
3rd row김연
4th row김연
5th row김연
ValueCountFrequency (%)
비공개 95
 
8.2%
38
 
3.3%
김연화 27
 
2.3%
최희자 13
 
1.1%
김세희 12
 
1.0%
정은희 11
 
1.0%
임창현 11
 
1.0%
박은실 10
 
0.9%
센터직원 9
 
0.8%
노성숙 9
 
0.8%
Other values (500) 917
79.6%
2024-03-14T09:37:07.855695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 229
 
6.7%
정 139
 
4.0%
이 115
 
3.3%
영 114
 
3.3%
희 108
 
3.1%
공 95
 
2.8%
비 95
 
2.8%
개 95
 
2.8%
박 90
 
2.6%
미 83
 
2.4%
Other values (197) 2270
66.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3364
98.0%
Dash Punctuation 39
 
1.1%
Space Separator 17
 
0.5%
Uppercase Letter 9
 
0.3%
Other Punctuation 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 229
 
6.8%
정 139
 
4.1%
이 115
 
3.4%
영 114
 
3.4%
희 108
 
3.2%
공 95
 
2.8%
비 95
 
2.8%
개 95
 
2.8%
박 90
 
2.7%
미 83
 
2.5%
Other values (188) 2201
65.4%
Uppercase Letter
ValueCountFrequency (%)
D 2
22.2%
A 2
22.2%
N 2
22.2%
I 1
11.1%
L 1
11.1%
U 1
11.1%
Dash Punctuation
ValueCountFrequency (%)
- 39
100.0%
Space Separator
ValueCountFrequency (%)
17
100.0%
Other Punctuation
ValueCountFrequency (%)
, 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3364
98.0%
Common 60
 
1.7%
Latin 9
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 229
 
6.8%
정 139
 
4.1%
이 115
 
3.4%
영 114
 
3.4%
희 108
 
3.2%
공 95
 
2.8%
비 95
 
2.8%
개 95
 
2.8%
박 90
 
2.7%
미 83
 
2.5%
Other values (188) 2201
65.4%
Latin
ValueCountFrequency (%)
D 2
22.2%
A 2
22.2%
N 2
22.2%
I 1
11.1%
L 1
11.1%
U 1
11.1%
Common
ValueCountFrequency (%)
- 39
65.0%
17
28.3%
, 4
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3364
98.0%
ASCII 69
 
2.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 229
 
6.8%
정 139
 
4.1%
이 115
 
3.4%
영 114
 
3.4%
희 108
 
3.2%
공 95
 
2.8%
비 95
 
2.8%
개 95
 
2.8%
박 90
 
2.7%
미 83
 
2.5%
Other values (188) 2201
65.4%
ASCII
ValueCountFrequency (%)
- 39
56.5%
17
24.6%
, 4
 
5.8%
D 2
 
2.9%
A 2
 
2.9%
N 2
 
2.9%
I 1
 
1.4%
L 1
 
1.4%
U 1
 
1.4%

교육시작일
Text

Distinct132
Distinct (%)11.6%
Missing0
Missing (%)0.0%
Memory size9.0 KiB
2024-03-14T09:37:08.052486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length10
Mean length9.4546256
Min length1

Characters and Unicode

Total characters10731
Distinct characters30
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique38 ?
Unique (%)3.3%

Sample

1st row2015-09-10
2nd row2015-09-10
3rd row2015-09-08
4th row2015-09-11
5th row2015-09-08
ValueCountFrequency (%)
2015-03-01 206
18.0%
2015-01-01 95
 
8.3%
2015-03-02 58
 
5.1%
2014-09-01 58
 
5.1%
2015-01-02 56
 
4.9%
2015-03-04 42
 
3.7%
2015-03-10 41
 
3.6%
2015-03-05 36
 
3.1%
2015-03-03 34
 
3.0%
2015-03-07 32
 
2.8%
Other values (123) 489
42.6%
2024-03-14T09:37:08.331854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2929
27.3%
- 2130
19.8%
1 1866
17.4%
2 1350
12.6%
5 1088
 
10.1%
3 647
 
6.0%
4 206
 
1.9%
9 120
 
1.1%
7 87
 
0.8%
6 82
 
0.8%
Other values (20) 226
 
2.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 8445
78.7%
Dash Punctuation 2130
 
19.8%
Other Letter 134
 
1.2%
Space Separator 12
 
0.1%
Open Punctuation 5
 
< 0.1%
Close Punctuation 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
분 18
13.4%
기 18
13.4%
매 17
12.7%
중 13
9.7%
연 13
9.7%
수 11
8.2%
시 8
6.0%
일 7
 
5.2%
년 5
 
3.7%
예 5
 
3.7%
Other values (6) 19
14.2%
Decimal Number
ValueCountFrequency (%)
0 2929
34.7%
1 1866
22.1%
2 1350
16.0%
5 1088
 
12.9%
3 647
 
7.7%
4 206
 
2.4%
9 120
 
1.4%
7 87
 
1.0%
6 82
 
1.0%
8 70
 
0.8%
Dash Punctuation
ValueCountFrequency (%)
- 2130
100.0%
Space Separator
ValueCountFrequency (%)
12
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 10597
98.8%
Hangul 134
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
분 18
13.4%
기 18
13.4%
매 17
12.7%
중 13
9.7%
연 13
9.7%
수 11
8.2%
시 8
6.0%
일 7
 
5.2%
년 5
 
3.7%
예 5
 
3.7%
Other values (6) 19
14.2%
Common
ValueCountFrequency (%)
0 2929
27.6%
- 2130
20.1%
1 1866
17.6%
2 1350
12.7%
5 1088
 
10.3%
3 647
 
6.1%
4 206
 
1.9%
9 120
 
1.1%
7 87
 
0.8%
6 82
 
0.8%
Other values (4) 92
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10597
98.8%
Hangul 134
 
1.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2929
27.6%
- 2130
20.1%
1 1866
17.6%
2 1350
12.7%
5 1088
 
10.3%
3 647
 
6.1%
4 206
 
1.9%
9 120
 
1.1%
7 87
 
0.8%
6 82
 
0.8%
Other values (4) 92
 
0.9%
Hangul
ValueCountFrequency (%)
분 18
13.4%
기 18
13.4%
매 17
12.7%
중 13
9.7%
연 13
9.7%
수 11
8.2%
시 8
6.0%
일 7
 
5.2%
년 5
 
3.7%
예 5
 
3.7%
Other values (6) 19
14.2%

교육종료일
Text

Distinct140
Distinct (%)12.3%
Missing0
Missing (%)0.0%
Memory size9.0 KiB
2024-03-14T09:37:08.529672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length10
Mean length9.3982379
Min length1

Characters and Unicode

Total characters10667
Distinct characters28
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique51 ?
Unique (%)4.5%

Sample

1st row2015-12-24
2nd row2015-12-24
3rd row2015-12-22
4th row2015-12-18
5th row2015-12-22
ValueCountFrequency (%)
2015-05-28 199
 
17.3%
2015-12-31 126
 
11.0%
2015-06-30 63
 
5.5%
2015-12-01 55
 
4.8%
52
 
4.5%
2015-06-19 35
 
3.0%
2015-12-05 27
 
2.4%
2015-05-23 26
 
2.3%
2015-05-22 23
 
2.0%
2015-05-21 22
 
1.9%
Other values (133) 520
45.3%
2024-03-14T09:37:08.903285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 2139
20.1%
0 2094
19.6%
1 1907
17.9%
2 1872
17.5%
5 1453
13.6%
3 361
 
3.4%
8 253
 
2.4%
6 218
 
2.0%
4 88
 
0.8%
7 84
 
0.8%
Other values (18) 198
 
1.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 8407
78.8%
Dash Punctuation 2139
 
20.1%
Other Letter 92
 
0.9%
Space Separator 13
 
0.1%
Other Punctuation 6
 
0.1%
Close Punctuation 5
 
< 0.1%
Open Punctuation 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
매 14
15.2%
연 13
14.1%
중 13
14.1%
분 9
9.8%
기 9
9.8%
말 9
9.8%
일 7
7.6%
예 5
 
5.4%
정 5
 
5.4%
년 5
 
5.4%
Other values (3) 3
 
3.3%
Decimal Number
ValueCountFrequency (%)
0 2094
24.9%
1 1907
22.7%
2 1872
22.3%
5 1453
17.3%
3 361
 
4.3%
8 253
 
3.0%
6 218
 
2.6%
4 88
 
1.0%
7 84
 
1.0%
9 77
 
0.9%
Dash Punctuation
ValueCountFrequency (%)
- 2139
100.0%
Space Separator
ValueCountFrequency (%)
13
100.0%
Other Punctuation
ValueCountFrequency (%)
. 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 10575
99.1%
Hangul 92
 
0.9%

Most frequent character per script

Common
ValueCountFrequency (%)
- 2139
20.2%
0 2094
19.8%
1 1907
18.0%
2 1872
17.7%
5 1453
13.7%
3 361
 
3.4%
8 253
 
2.4%
6 218
 
2.1%
4 88
 
0.8%
7 84
 
0.8%
Other values (5) 106
 
1.0%
Hangul
ValueCountFrequency (%)
매 14
15.2%
연 13
14.1%
중 13
14.1%
분 9
9.8%
기 9
9.8%
말 9
9.8%
일 7
7.6%
예 5
 
5.4%
정 5
 
5.4%
년 5
 
5.4%
Other values (3) 3
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10575
99.1%
Hangul 92
 
0.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 2139
20.2%
0 2094
19.8%
1 1907
18.0%
2 1872
17.7%
5 1453
13.7%
3 361
 
3.4%
8 253
 
2.4%
6 218
 
2.1%
4 88
 
0.8%
7 84
 
0.8%
Other values (5) 106
 
1.0%
Hangul
ValueCountFrequency (%)
매 14
15.2%
연 13
14.1%
중 13
14.1%
분 9
9.8%
기 9
9.8%
말 9
9.8%
일 7
7.6%
예 5
 
5.4%
정 5
 
5.4%
년 5
 
5.4%
Other values (3) 3
 
3.3%

시작시각
Text

Distinct101
Distinct (%)8.9%
Missing0
Missing (%)0.0%
Memory size9.0 KiB
2024-03-14T09:37:09.131091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length5
Mean length4.985022
Min length1

Characters and Unicode

Total characters5658
Distinct characters24
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique36 ?
Unique (%)3.2%

Sample

1st row14:00
2nd row19:00
3rd row009:30
4th row009:30
5th row13:00
ValueCountFrequency (%)
10:00 156
 
13.7%
19:00 89
 
7.8%
14:00 71
 
6.2%
13:00 70
 
6.2%
10:30 66
 
5.8%
61
 
5.4%
09:00 42
 
3.7%
16:00 34
 
3.0%
09:30 33
 
2.9%
11:00 33
 
2.9%
Other values (92) 482
42.4%
2024-03-14T09:37:09.420919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2217
39.2%
1 1120
19.8%
: 1101
19.5%
3 342
 
6.0%
9 226
 
4.0%
4 154
 
2.7%
2 145
 
2.6%
5 87
 
1.5%
6 73
 
1.3%
- 61
 
1.1%
Other values (14) 132
 
2.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4449
78.6%
Other Punctuation 1133
 
20.0%
Dash Punctuation 61
 
1.1%
Other Letter 9
 
0.2%
Space Separator 2
 
< 0.1%
Open Punctuation 2
 
< 0.1%
Close Punctuation 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2217
49.8%
1 1120
25.2%
3 342
 
7.7%
9 226
 
5.1%
4 154
 
3.5%
2 145
 
3.3%
5 87
 
2.0%
6 73
 
1.6%
8 50
 
1.1%
7 35
 
0.8%
Other Letter
ValueCountFrequency (%)
월 2
22.2%
금 2
22.2%
상 1
11.1%
시 1
11.1%
화 1
11.1%
목 1
11.1%
토 1
11.1%
Other Punctuation
ValueCountFrequency (%)
: 1101
97.2%
/ 31
 
2.7%
; 1
 
0.1%
Dash Punctuation
ValueCountFrequency (%)
- 61
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5649
99.8%
Hangul 9
 
0.2%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2217
39.2%
1 1120
19.8%
: 1101
19.5%
3 342
 
6.1%
9 226
 
4.0%
4 154
 
2.7%
2 145
 
2.6%
5 87
 
1.5%
6 73
 
1.3%
- 61
 
1.1%
Other values (7) 123
 
2.2%
Hangul
ValueCountFrequency (%)
월 2
22.2%
금 2
22.2%
상 1
11.1%
시 1
11.1%
화 1
11.1%
목 1
11.1%
토 1
11.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5649
99.8%
Hangul 9
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2217
39.2%
1 1120
19.8%
: 1101
19.5%
3 342
 
6.1%
9 226
 
4.0%
4 154
 
2.7%
2 145
 
2.6%
5 87
 
1.5%
6 73
 
1.3%
- 61
 
1.1%
Other values (7) 123
 
2.2%
Hangul
ValueCountFrequency (%)
월 2
22.2%
금 2
22.2%
상 1
11.1%
시 1
11.1%
화 1
11.1%
목 1
11.1%
토 1
11.1%

종료시각
Text

Distinct102
Distinct (%)9.0%
Missing0
Missing (%)0.0%
Memory size9.0 KiB
2024-03-14T09:37:09.618790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length5
Mean length4.9515419
Min length1

Characters and Unicode

Total characters5620
Distinct characters25
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique35 ?
Unique (%)3.1%

Sample

1st row16:00
2nd row21:00
3rd row12:30
4th row12:30
5th row15:00
ValueCountFrequency (%)
12:00 157
 
13.8%
61
 
5.4%
21:00 60
 
5.3%
17:00 59
 
5.2%
11:30 49
 
4.3%
16:00 38
 
3.3%
12:30 36
 
3.2%
20:30 35
 
3.1%
18:00 35
 
3.1%
15:00 33
 
2.9%
Other values (93) 573
50.4%
2024-03-14T09:37:09.905948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1710
30.4%
1 1209
21.5%
: 1101
19.6%
2 481
 
8.6%
3 305
 
5.4%
5 279
 
5.0%
4 154
 
2.7%
7 102
 
1.8%
6 91
 
1.6%
- 61
 
1.1%
Other values (15) 127
 
2.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4414
78.5%
Other Punctuation 1131
 
20.1%
Dash Punctuation 61
 
1.1%
Other Letter 9
 
0.2%
Open Punctuation 2
 
< 0.1%
Close Punctuation 2
 
< 0.1%
Space Separator 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1710
38.7%
1 1209
27.4%
2 481
 
10.9%
3 305
 
6.9%
5 279
 
6.3%
4 154
 
3.5%
7 102
 
2.3%
6 91
 
2.1%
8 53
 
1.2%
9 30
 
0.7%
Other Letter
ValueCountFrequency (%)
월 2
22.2%
금 2
22.2%
상 1
11.1%
시 1
11.1%
화 1
11.1%
목 1
11.1%
토 1
11.1%
Other Punctuation
ValueCountFrequency (%)
: 1101
97.3%
/ 28
 
2.5%
, 1
 
0.1%
; 1
 
0.1%
Dash Punctuation
ValueCountFrequency (%)
- 61
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5611
99.8%
Hangul 9
 
0.2%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1710
30.5%
1 1209
21.5%
: 1101
19.6%
2 481
 
8.6%
3 305
 
5.4%
5 279
 
5.0%
4 154
 
2.7%
7 102
 
1.8%
6 91
 
1.6%
- 61
 
1.1%
Other values (8) 118
 
2.1%
Hangul
ValueCountFrequency (%)
월 2
22.2%
금 2
22.2%
상 1
11.1%
시 1
11.1%
화 1
11.1%
목 1
11.1%
토 1
11.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5611
99.8%
Hangul 9
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1710
30.5%
1 1209
21.5%
: 1101
19.6%
2 481
 
8.6%
3 305
 
5.4%
5 279
 
5.0%
4 154
 
2.7%
7 102
 
1.8%
6 91
 
1.6%
- 61
 
1.1%
Other values (8) 118
 
2.1%
Hangul
ValueCountFrequency (%)
월 2
22.2%
금 2
22.2%
상 1
11.1%
시 1
11.1%
화 1
11.1%
목 1
11.1%
토 1
11.1%

강좌내용
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size9.0 KiB
_
1113 
-
 
22

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row_
2nd row_
3rd row_
4th row_
5th row_

Common Values

ValueCountFrequency (%)
_ 1113
98.1%
- 22
 
1.9%

Length

2024-03-14T09:37:10.017112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T09:37:10.087687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1135
100.0%

교육대상
Text

Distinct59
Distinct (%)5.2%
Missing0
Missing (%)0.0%
Memory size9.0 KiB
2024-03-14T09:37:10.214057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length2
Mean length3.860793
Min length1

Characters and Unicode

Total characters4382
Distinct characters108
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique26 ?
Unique (%)2.3%

Sample

1st row초보자
2nd row초보자
3rd row누구나
4th row누구나
5th row초보자
ValueCountFrequency (%)
성인 540
34.6%
유아 85
 
5.4%
영아 82
 
5.2%
지역주민 73
 
4.7%
엄마랑함께 61
 
3.9%
복지관 58
 
3.7%
회원 58
 
3.7%
중 58
 
3.7%
교육 58
 
3.7%
수강 58
 
3.7%
Other values (63) 431
27.6%
2024-03-14T09:37:10.669416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
인 592
 
13.5%
성 575
 
13.1%
428
 
9.8%
아 170
 
3.9%
지 131
 
3.0%
민 104
 
2.4%
주 98
 
2.2%
유 87
 
2.0%
영 83
 
1.9%
청 82
 
1.9%
Other values (98) 2032
46.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3858
88.0%
Space Separator 428
 
9.8%
Other Punctuation 32
 
0.7%
Decimal Number 28
 
0.6%
Dash Punctuation 24
 
0.5%
Close Punctuation 5
 
0.1%
Open Punctuation 5
 
0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 592
 
15.3%
성 575
 
14.9%
아 170
 
4.4%
지 131
 
3.4%
민 104
 
2.7%
주 98
 
2.5%
유 87
 
2.3%
영 83
 
2.2%
청 82
 
2.1%
자 82
 
2.1%
Other values (84) 1854
48.1%
Decimal Number
ValueCountFrequency (%)
6 13
46.4%
0 9
32.1%
7 3
 
10.7%
1 1
 
3.6%
5 1
 
3.6%
2 1
 
3.6%
Other Punctuation
ValueCountFrequency (%)
/ 17
53.1%
, 13
40.6%
. 2
 
6.2%
Space Separator
ValueCountFrequency (%)
428
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 24
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3857
88.0%
Common 524
 
12.0%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 592
 
15.3%
성 575
 
14.9%
아 170
 
4.4%
지 131
 
3.4%
민 104
 
2.7%
주 98
 
2.5%
유 87
 
2.3%
영 83
 
2.2%
청 82
 
2.1%
자 82
 
2.1%
Other values (83) 1853
48.0%
Common
ValueCountFrequency (%)
428
81.7%
- 24
 
4.6%
/ 17
 
3.2%
6 13
 
2.5%
, 13
 
2.5%
0 9
 
1.7%
) 5
 
1.0%
( 5
 
1.0%
7 3
 
0.6%
. 2
 
0.4%
Other values (4) 5
 
1.0%
Han
ValueCountFrequency (%)
內 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3857
88.0%
ASCII 524
 
12.0%
CJK 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
인 592
 
15.3%
성 575
 
14.9%
아 170
 
4.4%
지 131
 
3.4%
민 104
 
2.7%
주 98
 
2.5%
유 87
 
2.3%
영 83
 
2.2%
청 82
 
2.1%
자 82
 
2.1%
Other values (83) 1853
48.0%
ASCII
ValueCountFrequency (%)
428
81.7%
- 24
 
4.6%
/ 17
 
3.2%
6 13
 
2.5%
, 13
 
2.5%
0 9
 
1.7%
) 5
 
1.0%
( 5
 
1.0%
7 3
 
0.6%
. 2
 
0.4%
Other values (4) 5
 
1.0%
CJK
ValueCountFrequency (%)
內 1
100.0%

교육방법
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size9.0 KiB
오프라인
1102 
실내
 
15
참여형
 
9
집합교육
 
6
자유토론식
 
2

Length

Max length5
Median length4
Mean length3.9656388
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row오프라인
2nd row오프라인
3rd row오프라인
4th row오프라인
5th row오프라인

Common Values

ValueCountFrequency (%)
오프라인 1102
97.1%
실내 15
 
1.3%
참여형 9
 
0.8%
집합교육 6
 
0.5%
자유토론식 2
 
0.2%
야외 1
 
0.1%

Length

2024-03-14T09:37:10.808033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T09:37:10.992695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
오프라인 1102
97.1%
실내 15
 
1.3%
참여형 9
 
0.8%
집합교육 6
 
0.5%
자유토론식 2
 
0.2%
야외 1
 
0.1%

운영요일
Text

Distinct125
Distinct (%)11.0%
Missing0
Missing (%)0.0%
Memory size9.0 KiB
2024-03-14T09:37:11.212212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length18
Mean length3.3797357
Min length1

Characters and Unicode

Total characters3836
Distinct characters52
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique48 ?
Unique (%)4.2%

Sample

1st row목요일
2nd row목요일
3rd row화요일
4th row금요일
5th row화요일
ValueCountFrequency (%)
매주 509
29.7%
화 171
 
10.0%
목 138
 
8.0%
수 134
 
7.8%
토 119
 
6.9%
금 115
 
6.7%
월 104
 
6.1%
화,목 36
 
2.1%
월,수,금 21
 
1.2%
목요일 18
 
1.0%
Other values (82) 351
20.5%
2024-03-14T09:37:11.560534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
581
15.1%
주 536
14.0%
매 532
13.9%
화 313
8.2%
, 278
7.2%
목 273
7.1%
월 260
6.8%
수 243
6.3%
금 243
6.3%
토 128
 
3.3%
Other values (42) 449
11.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2816
73.4%
Space Separator 581
 
15.1%
Other Punctuation 318
 
8.3%
Decimal Number 51
 
1.3%
Math Symbol 32
 
0.8%
Dash Punctuation 22
 
0.6%
Close Punctuation 8
 
0.2%
Open Punctuation 8
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 536
19.0%
매 532
18.9%
화 313
11.1%
목 273
9.7%
월 260
9.2%
수 243
8.6%
금 243
8.6%
토 128
 
4.5%
일 115
 
4.1%
요 77
 
2.7%
Other values (29) 96
 
3.4%
Decimal Number
ValueCountFrequency (%)
1 20
39.2%
8 12
23.5%
7 10
19.6%
2 5
 
9.8%
4 4
 
7.8%
Other Punctuation
ValueCountFrequency (%)
, 278
87.4%
/ 30
 
9.4%
? 10
 
3.1%
Space Separator
ValueCountFrequency (%)
581
100.0%
Math Symbol
ValueCountFrequency (%)
~ 32
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 22
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2816
73.4%
Common 1020
 
26.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 536
19.0%
매 532
18.9%
화 313
11.1%
목 273
9.7%
월 260
9.2%
수 243
8.6%
금 243
8.6%
토 128
 
4.5%
일 115
 
4.1%
요 77
 
2.7%
Other values (29) 96
 
3.4%
Common
ValueCountFrequency (%)
581
57.0%
, 278
27.3%
~ 32
 
3.1%
/ 30
 
2.9%
- 22
 
2.2%
1 20
 
2.0%
8 12
 
1.2%
? 10
 
1.0%
7 10
 
1.0%
) 8
 
0.8%
Other values (3) 17
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2816
73.4%
ASCII 1020
 
26.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
581
57.0%
, 278
27.3%
~ 32
 
3.1%
/ 30
 
2.9%
- 22
 
2.2%
1 20
 
2.0%
8 12
 
1.2%
? 10
 
1.0%
7 10
 
1.0%
) 8
 
0.8%
Other values (3) 17
 
1.7%
Hangul
ValueCountFrequency (%)
주 536
19.0%
매 532
18.9%
화 313
11.1%
목 273
9.7%
월 260
9.2%
수 243
8.6%
금 243
8.6%
토 128
 
4.5%
일 115
 
4.1%
요 77
 
2.7%
Other values (29) 96
 
3.4%

교육장소
Text

Distinct69
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size9.0 KiB
2024-03-14T09:37:11.774455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length8.9339207
Min length1

Characters and Unicode

Total characters10140
Distinct characters153
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique14 ?
Unique (%)1.2%

Sample

1st row평생학습관
2nd row평생학습관
3rd row평생학습관
4th row평생학습관
5th row평생학습관
ValueCountFrequency (%)
홈플러스 276
16.0%
평생교육스쿨 276
16.0%
롯데마트 199
11.6%
문화센터 199
11.6%
평생학습관 76
 
4.4%
평생교육원 65
 
3.8%
원광대학교 58
 
3.4%
익산시노인종합복지관 58
 
3.4%
익산시립도서관 34
 
2.0%
여성회관 30
 
1.7%
Other values (70) 451
26.2%
2024-03-14T09:37:12.101728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
587
 
5.8%
스 560
 
5.5%
교 454
 
4.5%
생 443
 
4.4%
평 441
 
4.3%
터 411
 
4.1%
센 403
 
4.0%
육 371
 
3.7%
관 314
 
3.1%
화 288
 
2.8%
Other values (143) 5868
57.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9495
93.6%
Space Separator 587
 
5.8%
Lowercase Letter 24
 
0.2%
Decimal Number 14
 
0.1%
Uppercase Letter 12
 
0.1%
Dash Punctuation 8
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 560
 
5.9%
교 454
 
4.8%
생 443
 
4.7%
평 441
 
4.6%
터 411
 
4.3%
센 403
 
4.2%
육 371
 
3.9%
관 314
 
3.3%
화 288
 
3.0%
플 276
 
2.9%
Other values (132) 5534
58.3%
Lowercase Letter
ValueCountFrequency (%)
a 6
25.0%
y 6
25.0%
m 6
25.0%
c 6
25.0%
Uppercase Letter
ValueCountFrequency (%)
W 3
25.0%
A 3
25.0%
C 3
25.0%
Y 3
25.0%
Space Separator
ValueCountFrequency (%)
587
100.0%
Decimal Number
ValueCountFrequency (%)
2 14
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9495
93.6%
Common 609
 
6.0%
Latin 36
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 560
 
5.9%
교 454
 
4.8%
생 443
 
4.7%
평 441
 
4.6%
터 411
 
4.3%
센 403
 
4.2%
육 371
 
3.9%
관 314
 
3.3%
화 288
 
3.0%
플 276
 
2.9%
Other values (132) 5534
58.3%
Latin
ValueCountFrequency (%)
a 6
16.7%
y 6
16.7%
m 6
16.7%
c 6
16.7%
W 3
8.3%
A 3
8.3%
C 3
8.3%
Y 3
8.3%
Common
ValueCountFrequency (%)
587
96.4%
2 14
 
2.3%
- 8
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9495
93.6%
ASCII 645
 
6.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
587
91.0%
2 14
 
2.2%
- 8
 
1.2%
a 6
 
0.9%
y 6
 
0.9%
m 6
 
0.9%
c 6
 
0.9%
W 3
 
0.5%
A 3
 
0.5%
C 3
 
0.5%
Hangul
ValueCountFrequency (%)
스 560
 
5.9%
교 454
 
4.8%
생 443
 
4.7%
평 441
 
4.6%
터 411
 
4.3%
센 403
 
4.2%
육 371
 
3.9%
관 314
 
3.3%
화 288
 
3.0%
플 276
 
2.9%
Other values (132) 5534
58.3%

강좌정원수
Real number (ℝ)

ZEROS 

Distinct36
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.56652
Minimum0
Maximum120
Zeros133
Zeros (%)11.7%
Negative0
Negative (%)0.0%
Memory size10.1 KiB
2024-03-14T09:37:12.211352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q110
median15
Q320
95-th percentile38
Maximum120
Range120
Interquartile range (IQR)10

Descriptive statistics

Standard deviation11.5384
Coefficient of variation (CV)0.69648909
Kurtosis7.1912699
Mean16.56652
Median Absolute Deviation (MAD)5
Skewness1.514593
Sum18803
Variance133.13468
MonotonicityNot monotonic
2024-03-14T09:37:12.312984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
10 268
23.6%
20 209
18.4%
15 175
15.4%
0 133
11.7%
30 93
 
8.2%
25 31
 
2.7%
40 30
 
2.6%
12 28
 
2.5%
5 21
 
1.9%
28 19
 
1.7%
Other values (26) 128
11.3%
ValueCountFrequency (%)
0 133
11.7%
1 1
 
0.1%
3 2
 
0.2%
5 21
 
1.9%
6 9
 
0.8%
7 6
 
0.5%
8 2
 
0.2%
9 1
 
0.1%
10 268
23.6%
11 2
 
0.2%
ValueCountFrequency (%)
120 1
 
0.1%
80 1
 
0.1%
70 1
 
0.1%
60 6
 
0.5%
50 12
 
1.1%
44 1
 
0.1%
40 30
2.6%
38 7
 
0.6%
37 1
 
0.1%
36 9
 
0.8%

수강료
Text

Distinct99
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size9.0 KiB
2024-03-14T09:37:12.485759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length25
Mean length6.460793
Min length1

Characters and Unicode

Total characters7333
Distinct characters68
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique33 ?
Unique (%)2.9%

Sample

1st row80,000원
2nd row80,000원
3rd row120,000원
4th row120,000원
5th row80,000원
ValueCountFrequency (%)
무료 147
 
12.8%
118
 
10.3%
80,000원 80
 
7.0%
55,000원 58
 
5.1%
60,000원 51
 
4.4%
2,000원 45
 
3.9%
30,000원 39
 
3.4%
15,000원 34
 
3.0%
10,000원 31
 
2.7%
5,000원 30
 
2.6%
Other values (96) 514
44.8%
2024-03-14T09:37:12.777725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3173
43.3%
, 864
 
11.8%
원 815
 
11.1%
5 336
 
4.6%
/ 260
 
3.5%
1 225
 
3.1%
2 189
 
2.6%
3 170
 
2.3%
료 158
 
2.2%
무 149
 
2.0%
Other values (58) 994
 
13.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4358
59.4%
Other Letter 1686
 
23.0%
Other Punctuation 1128
 
15.4%
Dash Punctuation 126
 
1.7%
Space Separator 12
 
0.2%
Close Punctuation 11
 
0.2%
Open Punctuation 11
 
0.2%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 815
48.3%
료 158
 
9.4%
무 149
 
8.8%
월 139
 
8.2%
기 113
 
6.7%
학 61
 
3.6%
분 52
 
3.1%
주 31
 
1.8%
별 25
 
1.5%
개 17
 
1.0%
Other values (40) 126
 
7.5%
Decimal Number
ValueCountFrequency (%)
0 3173
72.8%
5 336
 
7.7%
1 225
 
5.2%
2 189
 
4.3%
3 170
 
3.9%
8 89
 
2.0%
6 69
 
1.6%
4 46
 
1.1%
7 43
 
1.0%
9 18
 
0.4%
Other Punctuation
ValueCountFrequency (%)
, 864
76.6%
/ 260
 
23.0%
% 4
 
0.4%
Dash Punctuation
ValueCountFrequency (%)
- 126
100.0%
Space Separator
ValueCountFrequency (%)
12
100.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%
Open Punctuation
ValueCountFrequency (%)
( 11
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5647
77.0%
Hangul 1686
 
23.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 815
48.3%
료 158
 
9.4%
무 149
 
8.8%
월 139
 
8.2%
기 113
 
6.7%
학 61
 
3.6%
분 52
 
3.1%
주 31
 
1.8%
별 25
 
1.5%
개 17
 
1.0%
Other values (40) 126
 
7.5%
Common
ValueCountFrequency (%)
0 3173
56.2%
, 864
 
15.3%
5 336
 
6.0%
/ 260
 
4.6%
1 225
 
4.0%
2 189
 
3.3%
3 170
 
3.0%
- 126
 
2.2%
8 89
 
1.6%
6 69
 
1.2%
Other values (8) 146
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5647
77.0%
Hangul 1686
 
23.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3173
56.2%
, 864
 
15.3%
5 336
 
6.0%
/ 260
 
4.6%
1 225
 
4.0%
2 189
 
3.3%
3 170
 
3.0%
- 126
 
2.2%
8 89
 
1.6%
6 69
 
1.2%
Other values (8) 146
 
2.6%
Hangul
ValueCountFrequency (%)
원 815
48.3%
료 158
 
9.4%
무 149
 
8.8%
월 139
 
8.2%
기 113
 
6.7%
학 61
 
3.6%
분 52
 
3.1%
주 31
 
1.8%
별 25
 
1.5%
개 17
 
1.0%
Other values (40) 126
 
7.5%

도로명주소
Text

Distinct106
Distinct (%)9.3%
Missing0
Missing (%)0.0%
Memory size9.0 KiB
2024-03-14T09:37:13.036161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length24
Mean length17.200881
Min length10

Characters and Unicode

Total characters19523
Distinct characters119
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique53 ?
Unique (%)4.7%

Sample

1st row전주시 덕진구 구총목로 11
2nd row전주시 덕진구 구총목로 11
3rd row전주시 덕진구 구총목로 11
4th row전주시 덕진구 구총목로 11
5th row전주시 덕진구 구총목로 11
ValueCountFrequency (%)
익산시 995
25.9%
무왕로 495
 
12.9%
1035(영등동831-1 276
 
7.2%
30(부송동 205
 
5.3%
25길 199
 
5.2%
익산대로 88
 
2.3%
동서로 75
 
2.0%
460 71
 
1.8%
103 58
 
1.5%
선화로6길 34
 
0.9%
Other values (202) 1349
35.1%
2024-03-14T09:37:13.486588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2719
 
13.9%
1 1213
 
6.2%
산 1133
 
5.8%
익 1088
 
5.6%
시 1083
 
5.5%
로 1041
 
5.3%
3 1034
 
5.3%
동 879
 
4.5%
0 698
 
3.6%
5 696
 
3.6%
Other values (109) 7939
40.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10009
51.3%
Decimal Number 5143
26.3%
Space Separator 2719
 
13.9%
Close Punctuation 654
 
3.3%
Open Punctuation 654
 
3.3%
Dash Punctuation 337
 
1.7%
Other Punctuation 7
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 1133
11.3%
익 1088
10.9%
시 1083
10.8%
로 1041
10.4%
동 879
 
8.8%
무 556
 
5.6%
왕 555
 
5.5%
길 491
 
4.9%
영 344
 
3.4%
부 340
 
3.4%
Other values (94) 2499
25.0%
Decimal Number
ValueCountFrequency (%)
1 1213
23.6%
3 1034
20.1%
0 698
13.6%
5 696
13.5%
2 561
10.9%
8 352
 
6.8%
6 218
 
4.2%
4 206
 
4.0%
7 94
 
1.8%
9 71
 
1.4%
Space Separator
ValueCountFrequency (%)
2719
100.0%
Close Punctuation
ValueCountFrequency (%)
) 654
100.0%
Open Punctuation
ValueCountFrequency (%)
( 654
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 337
100.0%
Other Punctuation
ValueCountFrequency (%)
, 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10009
51.3%
Common 9514
48.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 1133
11.3%
익 1088
10.9%
시 1083
10.8%
로 1041
10.4%
동 879
 
8.8%
무 556
 
5.6%
왕 555
 
5.5%
길 491
 
4.9%
영 344
 
3.4%
부 340
 
3.4%
Other values (94) 2499
25.0%
Common
ValueCountFrequency (%)
2719
28.6%
1 1213
12.7%
3 1034
 
10.9%
0 698
 
7.3%
5 696
 
7.3%
) 654
 
6.9%
( 654
 
6.9%
2 561
 
5.9%
8 352
 
3.7%
- 337
 
3.5%
Other values (5) 596
 
6.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10009
51.3%
ASCII 9514
48.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2719
28.6%
1 1213
12.7%
3 1034
 
10.9%
0 698
 
7.3%
5 696
 
7.3%
) 654
 
6.9%
( 654
 
6.9%
2 561
 
5.9%
8 352
 
3.7%
- 337
 
3.5%
Other values (5) 596
 
6.3%
Hangul
ValueCountFrequency (%)
산 1133
11.3%
익 1088
10.9%
시 1083
10.8%
로 1041
10.4%
동 879
 
8.8%
무 556
 
5.6%
왕 555
 
5.5%
길 491
 
4.9%
영 344
 
3.4%
부 340
 
3.4%
Other values (94) 2499
25.0%

운영기관명
Text

Distinct70
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size9.0 KiB
2024-03-14T09:37:13.695073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length9.2898678
Min length4

Characters and Unicode

Total characters10544
Distinct characters140
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)0.3%

Sample

1st row전주시평생학습관
2nd row전주시평생학습관
3rd row전주시평생학습관
4th row전주시평생학습관
5th row전주시평생학습관
ValueCountFrequency (%)
홈플러스 276
15.7%
평생교육스쿨 276
15.7%
롯데마트 199
 
11.3%
문화센터 199
 
11.3%
원광대학교 58
 
3.3%
평생교육원 58
 
3.3%
익산시노인종합복지관 58
 
3.3%
평생학습관 56
 
3.2%
익산시립도서관 34
 
1.9%
익산시여성회관 30
 
1.7%
Other values (66) 510
29.1%
2024-03-14T09:37:14.051756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
619
 
5.9%
스 555
 
5.3%
교 449
 
4.3%
생 442
 
4.2%
평 440
 
4.2%
터 406
 
3.9%
센 398
 
3.8%
육 371
 
3.5%
관 312
 
3.0%
화 288
 
2.7%
Other values (130) 6264
59.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9876
93.7%
Space Separator 619
 
5.9%
Lowercase Letter 24
 
0.2%
Decimal Number 13
 
0.1%
Uppercase Letter 12
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 555
 
5.6%
교 449
 
4.5%
생 442
 
4.5%
평 440
 
4.5%
터 406
 
4.1%
센 398
 
4.0%
육 371
 
3.8%
관 312
 
3.2%
화 288
 
2.9%
홈 276
 
2.8%
Other values (120) 5939
60.1%
Lowercase Letter
ValueCountFrequency (%)
y 6
25.0%
m 6
25.0%
a 6
25.0%
c 6
25.0%
Uppercase Letter
ValueCountFrequency (%)
Y 3
25.0%
C 3
25.0%
W 3
25.0%
A 3
25.0%
Space Separator
ValueCountFrequency (%)
619
100.0%
Decimal Number
ValueCountFrequency (%)
2 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9876
93.7%
Common 632
 
6.0%
Latin 36
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 555
 
5.6%
교 449
 
4.5%
생 442
 
4.5%
평 440
 
4.5%
터 406
 
4.1%
센 398
 
4.0%
육 371
 
3.8%
관 312
 
3.2%
화 288
 
2.9%
홈 276
 
2.8%
Other values (120) 5939
60.1%
Latin
ValueCountFrequency (%)
y 6
16.7%
m 6
16.7%
a 6
16.7%
c 6
16.7%
Y 3
8.3%
C 3
8.3%
W 3
8.3%
A 3
8.3%
Common
ValueCountFrequency (%)
619
97.9%
2 13
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9876
93.7%
ASCII 668
 
6.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
619
92.7%
2 13
 
1.9%
y 6
 
0.9%
m 6
 
0.9%
a 6
 
0.9%
c 6
 
0.9%
Y 3
 
0.4%
C 3
 
0.4%
W 3
 
0.4%
A 3
 
0.4%
Hangul
ValueCountFrequency (%)
스 555
 
5.6%
교 449
 
4.5%
생 442
 
4.5%
평 440
 
4.5%
터 406
 
4.1%
센 398
 
4.0%
육 371
 
3.8%
관 312
 
3.2%
화 288
 
2.9%
홈 276
 
2.8%
Other values (120) 5939
60.1%

전화번호
Text

Distinct106
Distinct (%)9.3%
Missing0
Missing (%)0.0%
Memory size9.0 KiB
2024-03-14T09:37:14.234328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.165639
Min length1

Characters and Unicode

Total characters13808
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique41 ?
Unique (%)3.6%

Sample

1st row063-241-1123
2nd row063-241-1123
3rd row063-241-1123
4th row063-241-1123
5th row063-241-1123
ValueCountFrequency (%)
063-859-8003 276
24.3%
063-830-2590~1 199
17.5%
063-850-5513 58
 
5.1%
063-837-7722 58
 
5.1%
063-859-4986 30
 
2.6%
063-831-0250 28
 
2.5%
063-540-2977 27
 
2.4%
063-241-1123 22
 
1.9%
063-859-3896 20
 
1.8%
20
 
1.8%
Other values (96) 397
35.0%
2024-03-14T09:37:14.513626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2530
18.3%
- 2250
16.3%
3 2143
15.5%
8 1417
10.3%
6 1312
9.5%
5 1167
8.5%
9 860
 
6.2%
2 679
 
4.9%
1 484
 
3.5%
7 395
 
2.9%
Other values (2) 571
 
4.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 11354
82.2%
Dash Punctuation 2250
 
16.3%
Math Symbol 204
 
1.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2530
22.3%
3 2143
18.9%
8 1417
12.5%
6 1312
11.6%
5 1167
10.3%
9 860
 
7.6%
2 679
 
6.0%
1 484
 
4.3%
7 395
 
3.5%
4 367
 
3.2%
Dash Punctuation
ValueCountFrequency (%)
- 2250
100.0%
Math Symbol
ValueCountFrequency (%)
~ 204
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 13808
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2530
18.3%
- 2250
16.3%
3 2143
15.5%
8 1417
10.3%
6 1312
9.5%
5 1167
8.5%
9 860
 
6.2%
2 679
 
4.9%
1 484
 
3.5%
7 395
 
2.9%
Other values (2) 571
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13808
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2530
18.3%
- 2250
16.3%
3 2143
15.5%
8 1417
10.3%
6 1312
9.5%
5 1167
8.5%
9 860
 
6.2%
2 679
 
4.9%
1 484
 
3.5%
7 395
 
2.9%
Other values (2) 571
 
4.1%

접수시작일
Text

Distinct63
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size9.0 KiB
2024-03-14T09:37:14.678932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length10
Mean length7.4960352
Min length1

Characters and Unicode

Total characters8508
Distinct characters44
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique19 ?
Unique (%)1.7%

Sample

1st row2015-08-20
2nd row2015-08-20
3rd row2015-08-20
4th row2015-08-20
5th row2015-08-20
ValueCountFrequency (%)
2015-01-22 276
23.8%
222
19.1%
2015-02-02 80
 
6.9%
2015-02-10 58
 
5.0%
2015-01-01 49
 
4.2%
수시 34
 
2.9%
2015-02-25 34
 
2.9%
2015-03-10 30
 
2.6%
상시(선착순 28
 
2.4%
2015-07-27 27
 
2.3%
Other values (58) 322
27.8%
2024-03-14T09:37:14.969026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 1816
21.3%
0 1713
20.1%
- 1688
19.8%
1 1389
16.3%
5 751
8.8%
시 114
 
1.3%
월 95
 
1.1%
7 82
 
1.0%
3 77
 
0.9%
8 70
 
0.8%
Other values (34) 713
 
8.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6017
70.7%
Dash Punctuation 1688
 
19.8%
Other Letter 660
 
7.8%
Other Punctuation 61
 
0.7%
Open Punctuation 29
 
0.3%
Close Punctuation 28
 
0.3%
Space Separator 25
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 114
17.3%
월 95
14.4%
수 51
 
7.7%
상 48
 
7.3%
기 37
 
5.6%
분 37
 
5.6%
순 31
 
4.7%
매 30
 
4.5%
선 28
 
4.2%
착 28
 
4.2%
Other values (18) 161
24.4%
Decimal Number
ValueCountFrequency (%)
2 1816
30.2%
0 1713
28.5%
1 1389
23.1%
5 751
12.5%
7 82
 
1.4%
3 77
 
1.3%
8 70
 
1.2%
4 62
 
1.0%
6 42
 
0.7%
9 15
 
0.2%
Other Punctuation
ValueCountFrequency (%)
, 58
95.1%
. 3
 
4.9%
Dash Punctuation
ValueCountFrequency (%)
- 1688
100.0%
Open Punctuation
ValueCountFrequency (%)
( 29
100.0%
Close Punctuation
ValueCountFrequency (%)
) 28
100.0%
Space Separator
ValueCountFrequency (%)
25
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7848
92.2%
Hangul 660
 
7.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 114
17.3%
월 95
14.4%
수 51
 
7.7%
상 48
 
7.3%
기 37
 
5.6%
분 37
 
5.6%
순 31
 
4.7%
매 30
 
4.5%
선 28
 
4.2%
착 28
 
4.2%
Other values (18) 161
24.4%
Common
ValueCountFrequency (%)
2 1816
23.1%
0 1713
21.8%
- 1688
21.5%
1 1389
17.7%
5 751
9.6%
7 82
 
1.0%
3 77
 
1.0%
8 70
 
0.9%
4 62
 
0.8%
, 58
 
0.7%
Other values (6) 142
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7848
92.2%
Hangul 660
 
7.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 1816
23.1%
0 1713
21.8%
- 1688
21.5%
1 1389
17.7%
5 751
9.6%
7 82
 
1.0%
3 77
 
1.0%
8 70
 
0.9%
4 62
 
0.8%
, 58
 
0.7%
Other values (6) 142
 
1.8%
Hangul
ValueCountFrequency (%)
시 114
17.3%
월 95
14.4%
수 51
 
7.7%
상 48
 
7.3%
기 37
 
5.6%
분 37
 
5.6%
순 31
 
4.7%
매 30
 
4.5%
선 28
 
4.2%
착 28
 
4.2%
Other values (18) 161
24.4%

접수종료일
Text

Distinct59
Distinct (%)5.2%
Missing0
Missing (%)0.0%
Memory size9.0 KiB
2024-03-14T09:37:15.145953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length14
Mean length8.4185022
Min length1

Characters and Unicode

Total characters9555
Distinct characters49
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique18 ?
Unique (%)1.6%

Sample

1st row2015-09-10
2nd row2015-09-10
3rd row2015-09-10
4th row2015-09-10
5th row2015-09-10
ValueCountFrequency (%)
2015-02-28(선착순 276
23.0%
253
21.1%
2015-02-27 59
 
4.9%
2015-02-12 58
 
4.8%
상시 53
 
4.4%
선착순 42
 
3.5%
2015-07-31 36
 
3.0%
인터넷접수 34
 
2.8%
2015-03-13 30
 
2.5%
상시(선착순 28
 
2.3%
Other values (54) 330
27.5%
2024-03-14T09:37:15.557927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 1579
16.5%
- 1519
15.9%
0 1282
13.4%
1 962
10.1%
5 618
 
6.5%
순 393
 
4.1%
선 392
 
4.1%
착 392
 
4.1%
( 351
 
3.7%
) 351
 
3.7%
Other values (39) 1716
18.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5169
54.1%
Other Letter 2044
 
21.4%
Dash Punctuation 1519
 
15.9%
Open Punctuation 351
 
3.7%
Close Punctuation 351
 
3.7%
Space Separator 64
 
0.7%
Other Punctuation 57
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
순 393
19.2%
선 392
19.2%
착 392
19.2%
시 163
8.0%
수 101
 
4.9%
월 90
 
4.4%
상 81
 
4.0%
접 56
 
2.7%
정 43
 
2.1%
원 37
 
1.8%
Other values (24) 296
14.5%
Decimal Number
ValueCountFrequency (%)
2 1579
30.5%
0 1282
24.8%
1 962
18.6%
5 618
 
12.0%
8 309
 
6.0%
3 209
 
4.0%
7 96
 
1.9%
9 40
 
0.8%
6 40
 
0.8%
4 34
 
0.7%
Dash Punctuation
ValueCountFrequency (%)
- 1519
100.0%
Open Punctuation
ValueCountFrequency (%)
( 351
100.0%
Close Punctuation
ValueCountFrequency (%)
) 351
100.0%
Space Separator
ValueCountFrequency (%)
64
100.0%
Other Punctuation
ValueCountFrequency (%)
, 57
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7511
78.6%
Hangul 2044
 
21.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
순 393
19.2%
선 392
19.2%
착 392
19.2%
시 163
8.0%
수 101
 
4.9%
월 90
 
4.4%
상 81
 
4.0%
접 56
 
2.7%
정 43
 
2.1%
원 37
 
1.8%
Other values (24) 296
14.5%
Common
ValueCountFrequency (%)
2 1579
21.0%
- 1519
20.2%
0 1282
17.1%
1 962
12.8%
5 618
 
8.2%
( 351
 
4.7%
) 351
 
4.7%
8 309
 
4.1%
3 209
 
2.8%
7 96
 
1.3%
Other values (5) 235
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7511
78.6%
Hangul 2044
 
21.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 1579
21.0%
- 1519
20.2%
0 1282
17.1%
1 962
12.8%
5 618
 
8.2%
( 351
 
4.7%
) 351
 
4.7%
8 309
 
4.1%
3 209
 
2.8%
7 96
 
1.3%
Other values (5) 235
 
3.1%
Hangul
ValueCountFrequency (%)
순 393
19.2%
선 392
19.2%
착 392
19.2%
시 163
8.0%
수 101
 
4.9%
월 90
 
4.4%
상 81
 
4.0%
접 56
 
2.7%
정 43
 
2.1%
원 37
 
1.8%
Other values (24) 296
14.5%

접수방법
Categorical

Distinct29
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size9.0 KiB
방문/인터넷/모바일
276 
전화접수
218 
방문접수
148 
회원가입 후 방문접수
58 
방문접수, 인터넷접수, 전화접수
58 
Other values (24)
377 

Length

Max length17
Median length15
Mean length7.630837
Min length1

Unique

Unique4 ?
Unique (%)0.4%

Sample

1st row방문접수
2nd row방문접수
3rd row방문접수
4th row방문접수
5th row방문접수

Common Values

ValueCountFrequency (%)
방문/인터넷/모바일 276
24.3%
전화접수 218
19.2%
방문접수 148
13.0%
회원가입 후 방문접수 58
 
5.1%
방문접수, 인터넷접수, 전화접수 58
 
5.1%
인터넷접수 54
 
4.8%
전화접수/방문접수 41
 
3.6%
본인방문(신분증지참) 30
 
2.6%
전화접수/직접방문 28
 
2.5%
전화접수/홈페이지/이메일접수 28
 
2.5%
Other values (19) 196
17.3%

Length

2024-03-14T09:37:15.688740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
방문/인터넷/모바일 276
19.5%
전화접수 276
19.5%
방문접수 264
18.6%
인터넷접수 112
7.9%
후 65
 
4.6%
회원가입 58
 
4.1%
전화접수/방문접수 41
 
2.9%
직접방문 34
 
2.4%
본인방문(신분증지참 30
 
2.1%
전화접수/직접방문 28
 
2.0%
Other values (20) 233
16.4%

선정방법
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size9.0 KiB
-
995 
선착순
134 
제한없음
 
6

Length

Max length4
Median length1
Mean length1.2519824
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row선착순
2nd row선착순
3rd row선착순
4th row선착순
5th row선착순

Common Values

ValueCountFrequency (%)
- 995
87.7%
선착순 134
 
11.8%
제한없음 6
 
0.5%

Length

2024-03-14T09:37:15.786163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T09:37:15.864839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
995
87.7%
선착순 134
 
11.8%
제한없음 6
 
0.5%

홈페이지
Categorical

Distinct49
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size9.0 KiB
http://school.homeplus.co.kr/
276 
http://culture.lottemart.com/
199 
-
89 
http://inform.wku.ac.kr
58 
http://www.iksansilver.or.kr
58 
Other values (44)
455 

Length

Max length36
Median length35
Mean length24.098678
Min length1

Unique

Unique2 ?
Unique (%)0.2%

Sample

1st rowwww.jjedu.or.kr
2nd rowwww.jjedu.or.kr
3rd rowwww.jjedu.or.kr
4th rowwww.jjedu.or.kr
5th rowwww.jjedu.or.kr

Common Values

ValueCountFrequency (%)
http://school.homeplus.co.kr/ 276
24.3%
http://culture.lottemart.com/ 199
17.5%
- 89
 
7.8%
http://inform.wku.ac.kr 58
 
5.1%
http://www.iksansilver.or.kr 58
 
5.1%
http://www.iksan.go.kr 34
 
3.0%
http://lib.iksan.go.kr 34
 
3.0%
www.swb.or.kr 28
 
2.5%
e.gimje.go.kr 27
 
2.4%
www.buan.go.kr 23
 
2.0%
Other values (39) 309
27.2%

Length

2024-03-14T09:37:15.959488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
http://school.homeplus.co.kr 276
24.3%
http://culture.lottemart.com 199
17.5%
89
 
7.8%
http://inform.wku.ac.kr 58
 
5.1%
http://www.iksansilver.or.kr 58
 
5.1%
http://www.iksan.go.kr 34
 
3.0%
http://lib.iksan.go.kr 34
 
3.0%
www.swb.or.kr 28
 
2.5%
e.gimje.go.kr 27
 
2.4%
www.buan.go.kr 23
 
2.0%
Other values (39) 309
27.2%

훈련비지원
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size9.0 KiB
N
1101 
-
 
34

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowN
2nd rowN
3rd rowN
4th rowN
5th rowN

Common Values

ValueCountFrequency (%)
N 1101
97.0%
- 34
 
3.0%

Length

2024-03-14T09:37:16.093913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T09:37:16.196337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
n 1101
97.0%
34
 
3.0%

학점은행제
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size9.0 KiB
N
1100 
-
 
34
Y
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowN
2nd rowN
3rd rowN
4th rowN
5th rowN

Common Values

ValueCountFrequency (%)
N 1100
96.9%
- 34
 
3.0%
Y 1
 
0.1%

Length

2024-03-14T09:37:16.272010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T09:37:16.348732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
n 1100
96.9%
34
 
3.0%
y 1
 
0.1%

평생학습
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size9.0 KiB
N
1074 
-
 
61

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowN
2nd rowN
3rd rowN
4th rowN
5th rowN

Common Values

ValueCountFrequency (%)
N 1074
94.6%
- 61
 
5.4%

Length

2024-03-14T09:37:16.425101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T09:37:16.494206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
n 1074
94.6%
61
 
5.4%

데이터기준
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size9.0 KiB
2015-09-30
1135 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2015-09-30
2nd row2015-09-30
3rd row2015-09-30
4th row2015-09-30
5th row2015-09-30

Common Values

ValueCountFrequency (%)
2015-09-30 1135
100.0%

Length

2024-03-14T09:37:16.570862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T09:37:16.637622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2015-09-30 1135
100.0%

자료출처
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size9.0 KiB
자치행정과
1135 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row자치행정과
2nd row자치행정과
3rd row자치행정과
4th row자치행정과
5th row자치행정과

Common Values

ValueCountFrequency (%)
자치행정과 1135
100.0%

Length

2024-03-14T09:37:16.709672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T09:37:16.776341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
자치행정과 1135
100.0%

공개여부
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size9.0 KiB
공개
1135 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row공개
2nd row공개
3rd row공개
4th row공개
5th row공개

Common Values

ValueCountFrequency (%)
공개 1135
100.0%

Length

2024-03-14T09:37:16.854463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T09:37:16.928812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공개 1135
100.0%

작성일
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size9.0 KiB
2015.1
1135 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2015.1
2nd row2015.1
3rd row2015.1
4th row2015.1
5th row2015.1

Common Values

ValueCountFrequency (%)
2015.1 1135
100.0%

Length

2024-03-14T09:37:17.013462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T09:37:17.086139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2015.1 1135
100.0%

갱신주기
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size9.0 KiB
1년
1135 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1년
2nd row1년
3rd row1년
4th row1년
5th row1년

Common Values

ValueCountFrequency (%)
1년 1135
100.0%

Length

2024-03-14T09:37:17.164418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T09:37:17.239599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1년 1135
100.0%

Sample

순번시군명강좌명강사명교육시작일교육종료일시작시각종료시각강좌내용교육대상교육방법운영요일교육장소강좌정원수수강료도로명주소운영기관명전화번호접수시작일접수종료일접수방법선정방법홈페이지훈련비지원학점은행제평생학습데이터기준자료출처공개여부작성일갱신주기
01전주시우쿨렐레김현주2015-09-102015-12-2414:0016:00_초보자오프라인목요일평생학습관2080,000원전주시 덕진구 구총목로 11전주시평생학습관063-241-11232015-08-202015-09-10방문접수선착순www.jjedu.or.krNNN2015-09-30자치행정과공개2015.11년
12전주시여행스케치김성욱2015-09-102015-12-2419:0021:00_초보자오프라인목요일평생학습관1680,000원전주시 덕진구 구총목로 11전주시평생학습관063-241-11232015-08-202015-09-10방문접수선착순www.jjedu.or.krNNN2015-09-30자치행정과공개2015.11년
23전주시서예문인화작품반김연2015-09-082015-12-22009:3012:30_누구나오프라인화요일평생학습관12120,000원전주시 덕진구 구총목로 11전주시평생학습관063-241-11232015-08-202015-09-10방문접수선착순www.jjedu.or.krNNN2015-09-30자치행정과공개2015.11년
34전주시문인화김연2015-09-112015-12-18009:3012:30_누구나오프라인금요일평생학습관16120,000원전주시 덕진구 구총목로 11전주시평생학습관063-241-11232015-08-202015-09-10방문접수선착순www.jjedu.or.krNNN2015-09-30자치행정과공개2015.11년
45전주시사군자입문반김연2015-09-082015-12-2213:0015:00_초보자오프라인화요일평생학습관1680,000원전주시 덕진구 구총목로 11전주시평생학습관063-241-11232015-08-202015-09-10방문접수선착순www.jjedu.or.krNNN2015-09-30자치행정과공개2015.11년
56전주시수채화화요반변복우2015-09-082015-12-2210:0012:30_누구나오프라인화요일평생학습관12120,000원전주시 덕진구 구총목로 11전주시평생학습관063-241-11232015-08-202015-09-10방문접수선착순www.jjedu.or.krNNN2015-09-30자치행정과공개2015.11년
67전주시수채화수요반변복우2015-09-092015-12-2310:0012:30_누구나오프라인수요일평생학습관12120,000원전주시 덕진구 구총목로 11전주시평생학습관063-241-11232015-08-202015-09-10방문접수선착순www.jjedu.or.krNNN2015-09-30자치행정과공개2015.11년
78전주시그림입문반변복우2015-09-102015-12-2410:0012:00_초보자오프라인목요일평생학습관1280,000원전주시 덕진구 구총목로 11전주시평생학습관063-241-11232015-08-202015-09-10방문접수선착순www.jjedu.or.krNNN2015-09-30자치행정과공개2015.11년
89전주시도예물레금요오전반진정욱2015-09-112015-09-1809:3012:30_누구나오프라인금요일평생학습관10120,000원전주시 덕진구 구총목로 11전주시평생학습관063-241-11232015-08-202015-09-10방문접수선착순www.jjedu.or.krNNN2015-09-30자치행정과공개2015.11년
910전주시도예물레금요오후반진정욱2015-09-112015-09-1814:0017:00_누구나오프라인금요일평생학습관10120,000원전주시 덕진구 구총목로 11전주시평생학습관063-241-11232015-08-202015-09-10방문접수선착순www.jjedu.or.krNNN2015-09-30자치행정과공개2015.11년
순번시군명강좌명강사명교육시작일교육종료일시작시각종료시각강좌내용교육대상교육방법운영요일교육장소강좌정원수수강료도로명주소운영기관명전화번호접수시작일접수종료일접수방법선정방법홈페이지훈련비지원학점은행제평생학습데이터기준자료출처공개여부작성일갱신주기
11251146군산시색체로 보는 나의 심리이숙경2015-09-182015-09-1814:0016:00-성인자유토론식금평생학습관1520,000군산시 영화동 구영2길 39군산시 평생학습관063-454-26002월,8월2월,8월전화,방문,인터넷선착순lll.gunsan.go.krNNN2015-09-30자치행정과공개2015.11년
11261147군산시스마트폰활용교육권민식2015-10-012015-10-3010:0012:00-성인자유토론식월,목평생학습관2010,000군산시 영화동 구영2길 39군산시 평생학습관063-454-26002월,8월2월,8월전화,방문,인터넷선착순lll.gunsan.go.krNNN2015-09-30자치행정과공개2015.11년
11271148군산시수채화이주원2015-09-142015-09-1419:0021:00-성인실내월평생학습관1530,000군산시 영화동 구영2길 39군산시 평생학습관063-454-26002월,8월2월,8월전화,방문,인터넷선착순lll.gunsan.go.krNNN2015-09-30자치행정과공개2015.11년
11281149군산시바리스타(드립과정)이화연2015-09-142015-09-1419:0021:00-성인실내월평생학습관1520,000군산시 영화동 구영2길 39군산시 평생학습관063-454-26002월,8월2월,8월전화,방문,인터넷선착순lll.gunsan.go.krNNN2015-09-30자치행정과공개2015.11년
11291150군산시기초 데생김중수2015-09-162015-09-1619:0021:00-성인실내수평생학습관1530,000군산시 영화동 구영2길 39군산시 평생학습관063-454-26002월,8월2월,8월전화,방문,인터넷선착순lll.gunsan.go.krNNN2015-09-30자치행정과공개2015.11년
11301151군산시통기타이정근2015-09-162015-09-1619:0021:00-성인실내수평생학습관2030,000군산시 영화동 구영2길 39군산시 평생학습관063-454-26002월,8월2월,8월전화,방문,인터넷선착순lll.gunsan.go.krNNN2015-09-30자치행정과공개2015.11년
11311152고창군풍수지리와 수맥정인택2105-05-122015-10-3018:3020:30-지역주민오프라인화전북대학교 고창캠퍼스30무료고창군 고창읍 태봉로 361고창군청063-560-27372015-04-172015-04-30방문접수선착순www.gochang.go.krNNN2015-09-30자치행정과공개2015.11년
11321153고창군심리상담사 전문가과정최광호2015-04-272015-10-3018:3020:30-지역주민오프라인수전북대학교 고창캠퍼스30무료고창군 고창읍 태봉로 361고창군청063-560-27372015-04-172015-04-30방문접수선착순www.gochang.go.krNNN2015-09-30자치행정과공개2015.11년
11331154고창군커피바리스타신명님2015-04-272015-10-3018:3020:30-지역주민오프라인목전북대학교 고창캠퍼스30무료고창군 고창읍 태봉로 361고창군청063-560-27372015-04-172015-04-30방문접수선착순www.gochang.go.krNNN2015-09-30자치행정과공개2015.11년
11341155고창군조경관리와 정원만들기박율진2015-05-082015-10-3018:3020:30-지역주민오프라인금전북대학교 고창캠퍼스30무료고창군 고창읍 태봉로 361고창군청063-560-27372015-04-172015-04-30방문접수선착순www.gochang.go.krNNN2015-09-30자치행정과공개2015.11년